Jean‐Philippe Vert

18.9k total citations · 5 hit papers
120 papers, 9.6k citations indexed

About

Jean‐Philippe Vert is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Jean‐Philippe Vert has authored 120 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 16 papers in Artificial Intelligence and 14 papers in Computational Theory and Mathematics. Recurrent topics in Jean‐Philippe Vert's work include Gene expression and cancer classification (25 papers), Bioinformatics and Genomic Networks (23 papers) and Machine Learning in Bioinformatics (22 papers). Jean‐Philippe Vert is often cited by papers focused on Gene expression and cancer classification (25 papers), Bioinformatics and Genomic Networks (23 papers) and Machine Learning in Bioinformatics (22 papers). Jean‐Philippe Vert collaborates with scholars based in France, United States and Japan. Jean‐Philippe Vert's co-authors include Laurent Jacob, Fantine Mordelet, Emmanuel Barillot, Nelle Varoquaux, Guillaume Obozinski, Nicolas Servant, Édith Heard, Eric Viara, Job Dekker and Bryan R. Lajoie and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Jean‐Philippe Vert

117 papers receiving 9.4k citations

Hit Papers

HiC-Pro: an optimized and flexible pipeline... 2004 2026 2011 2018 2015 2004 2009 2018 2015 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jean‐Philippe Vert France 48 6.0k 1.7k 1.1k 995 903 120 9.6k
Hiroaki Kitano Japan 52 8.7k 1.5× 1.6k 1.0× 1.5k 1.4× 955 1.0× 588 0.7× 285 15.6k
Kazuyuki Aihara Japan 61 4.0k 0.7× 4.8k 2.8× 936 0.8× 729 0.7× 418 0.5× 815 17.5k
Donna K. Slonim United States 27 10.5k 1.7× 2.4k 1.4× 622 0.5× 1.2k 1.2× 245 0.3× 68 13.8k
Eduardo D. Sontag United States 77 7.6k 1.3× 2.7k 1.6× 3.3k 2.9× 924 0.9× 262 0.3× 472 32.3k
Naama Barkai Israel 52 12.4k 2.1× 1.3k 0.8× 410 0.4× 676 0.7× 1.3k 1.5× 157 14.7k
Bing Wang China 54 5.4k 0.9× 832 0.5× 935 0.8× 1.2k 1.2× 1.3k 1.4× 680 13.5k
Tao Jiang United States 49 5.2k 0.9× 2.1k 1.2× 2.1k 1.8× 956 1.0× 1.2k 1.3× 433 10.4k
Xin Gao Saudi Arabia 56 5.9k 1.0× 1.5k 0.9× 930 0.8× 782 0.8× 485 0.5× 550 12.0k
Gunnar Rätsch Germany 52 5.1k 0.8× 4.9k 2.9× 653 0.6× 4.6k 4.6× 1.9k 2.1× 167 16.1k
Olga G. Troyanskaya United States 54 11.3k 1.9× 1.3k 0.8× 593 0.5× 419 0.4× 538 0.6× 153 15.8k

Countries citing papers authored by Jean‐Philippe Vert

Since Specialization
Citations

This map shows the geographic impact of Jean‐Philippe Vert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jean‐Philippe Vert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean‐Philippe Vert more than expected).

Fields of papers citing papers by Jean‐Philippe Vert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Philippe Vert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jean‐Philippe Vert. The network helps show where Jean‐Philippe Vert may publish in the future.

Co-authorship network of co-authors of Jean‐Philippe Vert

This figure shows the co-authorship network connecting the top 25 collaborators of Jean‐Philippe Vert. A scholar is included among the top collaborators of Jean‐Philippe Vert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jean‐Philippe Vert. Jean‐Philippe Vert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Meng-Papaxanthos, Laetitia, Ran Zhang, Gang Li, et al.. (2023). LSMMD-MA: scaling multimodal data integration for single-cell genomics data analysis. Bioinformatics. 39(7). 1 indexed citations
2.
Blondel, Mathieu, Arthur Mensch, & Jean‐Philippe Vert. (2021). Differentiable Divergences Between Time Series. International Conference on Artificial Intelligence and Statistics. 3853–3861. 3 indexed citations
3.
Vert, Jean‐Philippe, et al.. (2020). Gene regulation inference from single-cell RNA-seq data with linear differential equations and velocity inference. Bioinformatics. 36(18). 4774–4780. 68 indexed citations
4.
Cook, Kate B., et al.. (2020). Measuring significant changes in chromatin conformation with ACCOST. Nucleic Acids Research. 48(5). 2303–2311. 12 indexed citations
5.
Berthet, Quentin, Mathieu Blondel, Olivier Teboul, et al.. (2020). Learning with Differentiable Pertubed Optimizers. Neural Information Processing Systems. 33. 9508–9519. 20 indexed citations
6.
Liu, Jie, Yuanhao Huang, Ritambhara Singh, Jean‐Philippe Vert, & William Stafford Noble. (2019). Jointly Embedding Multiple Single-Cell Omics Measurements. HAL (Le Centre pour la Communication Scientifique Directe). 10 indexed citations
7.
Cuturi, Marco, Olivier Teboul, & Jean‐Philippe Vert. (2019). Differentiable Ranking and Sorting using Optimal Transport. Neural Information Processing Systems. 32. 6858–6868. 20 indexed citations
8.
Zinovyev, Andreï, et al.. (2017). NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis. PLoS Computational Biology. 13(6). e1005573–e1005573. 23 indexed citations
9.
Plouhinec, Jean-Louis, Sofía Medina-Ruiz, Caroline Borday, et al.. (2017). A molecular atlas of the developing ectoderm defines neural, neural crest, placode, and nonneural progenitor identity in vertebrates. PLoS Biology. 15(10). e2004045–e2004045. 43 indexed citations
10.
Bernard, Elsa, et al.. (2017). Kernel Multitask Regression for Toxicogenetics. Molecular Informatics. 36(10). 4 indexed citations
11.
Vert, Jean‐Philippe, et al.. (2010). On learning with kernels for unordered pairs. International Conference on Machine Learning. 463–470. 12 indexed citations
12.
Cuturi, Marco, Jean‐Philippe Vert, & Alexandre d’Aspremont. (2009). White Functionals for Anomaly Detection in Dynamical Systems. Neural Information Processing Systems. 22. 432–440. 1 indexed citations
13.
Mahé, Pierre & Jean‐Philippe Vert. (2009). Virtual Screening with Support Vector Machines and Structure Kernels. Combinatorial Chemistry & High Throughput Screening. 12(4). 409–423. 10 indexed citations
14.
Vert, Jean‐Philippe, et al.. (2006). Consistency and Convergence Rates of One-Class SVMs and Related Algorithms. Journal of Machine Learning Research. 7(29). 817–854. 84 indexed citations
15.
Vert, Jean‐Philippe, et al.. (2005). Consistency of one-class SVM and related algorithms. Neural Information Processing Systems. 18. 1409–1416. 3 indexed citations
16.
Cuturi, Marco, Kenji Fukumizu, & Jean‐Philippe Vert. (2005). Semigroup Kernels on Measures. Journal of Machine Learning Research. 6(40). 1169–1198. 33 indexed citations
17.
Cuturi, Marco & Jean‐Philippe Vert. (2004). Semigroup Kernels on Finite Sets. Neural Information Processing Systems. 17. 329–336. 10 indexed citations
18.
Vert, Jean‐Philippe & Yoshihiro Yamanishi. (2004). Supervised Graph Inference. Neural Information Processing Systems. 17. 1433–1440. 53 indexed citations
19.
Vert, Jean‐Philippe & Minoru Kanehisa. (2002). Graph-Driven Feature Extraction From Microarray Data Using Diffusion Kernels and Kernel CCA. Neural Information Processing Systems. 15. 1425–1432. 56 indexed citations
20.
Saigo, Hiroto, Jean‐Philippe Vert, Tatsuya Akutsu, & Nobuhisa Ueda. (2002). Comparison of SVM-Based Methods for Remote Homology Detection. Proceedings Genome Informatics Workshop/Genome informatics. 13(13). 396–397. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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